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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Future Fellowship project “Innovative Data Driven Techniques for Structural Condition Monitoring
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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., identifying when to regulate, selecting emotion regulation strategies, implementing those strategies successfully in one's context, and monitoring the impact of the emotion regulation to decide whether to
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delivery, the cost-benefit of health care, healthcare monitoring, and social engagement among older adults. Despite all these potential benefits, the level of smart technology adoption in aged-care service
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medical products in Australia and the United Kingdom. Drawing on the disciplines of public health policy, anthropology and human rights law, the candidate will interrogate the structure and dynamics